Triple
T20791590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Monterey Pass |
E511790
|
entity |
| Predicate | unionForcesType |
P43803
|
FINISHED |
| Object | cavalry |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: cavalry | Statement: [Battle of Monterey Pass, unionForcesType, cavalry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unionForcesType Context triple: [Battle of Monterey Pass, unionForcesType, cavalry]
-
A.
unionForces
Indicates that multiple forces are combined into a single, unified force acting together.
-
B.
unionForcesComposition
Indicates that multiple forces are combined or aggregated to form a single resultant force.
-
C.
UnionForcesType
chosen
Indicates that one entity is associated with, composed of, or characterized by a specific type or category of union forces.
-
D.
union
Indicates that two or more sets are combined into a single set containing all elements that belong to at least one of them.
-
E.
unionStrength
Indicates the degree of solidarity, cohesion, or collective power within or among unions or union members.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e0b4cb83948190bd57bec21d78ed53 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2910d488190bc4be37512effc86 |
completed | April 21, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e5c0575b1c81908d010223fcd1213e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 12:38 p.m.